Annual State-reported licensed driver data from Highway Statistics for the 50 States and DC from Highway Statistics table DL-22.
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United States Average Vehicles per Household: 4 or More Licensed Drivers data was reported at 4.100 Unit in 2017. This records an increase from the previous number of 3.900 Unit for 2009. United States Average Vehicles per Household: 4 or More Licensed Drivers data is updated yearly, averaging 3.850 Unit from Dec 1991 (Median) to 2017, with 4 observations. The data reached an all-time high of 4.100 Unit in 2017 and a record low of 3.800 Unit in 2001. United States Average Vehicles per Household: 4 or More Licensed Drivers data remains active status in CEIC and is reported by Center for Transportation Analysis. The data is categorized under Global Database’s United States – Table US.TA003: Number of Vehicles per Household.
OPT does not operate any buses nor does it directly employ any bus drivers or attendants. Drivers and attendants (sometimes referred to as ‘matrons’ or ‘escorts’) and employed by bus vendors themselves. OPT manages systems and processes to ensure that drivers and attendants have all requisite background checks and certifications. The Driver and Attendant summary data is available for each bus vendor and describes the number of active employees by job type.
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Car Registrations in the United States increased to 252.60 Thousand in May from 250.10 Thousand in April of 2025. This dataset provides - United States Car Registrations - actual values, historical data, forecast, chart, statistics, economic calendar and news.
PLEASE NOTE: This dataset, which includes all TLC Licensed Drivers who are in good standing and able to drive, is updated every day in the evening between 4-7pm. Please check the 'Last Update Date' field to make sure the list has updated successfully. 'Last Update Date' should show either today or yesterday's date, depending on the time of day. If the list is outdated, please download the most recent list from the link below. http://www1.nyc.gov/assets/tlc/downloads/datasets/tlc_medallion_drivers_active.csv This is a list of drivers with a current TLC Driver License, which authorizes drivers to operate NYC TLC licensed yellow and green taxicabs and for-hire vehicles (FHVs). This list is accurate as of the date and time shown in the Last Date Updated and Last Time Updated fields. Questions about the contents of this dataset can be sent by email to: licensinginquiries@tlc.nyc.gov.
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Key information about US Number of Registered Vehicles
Over the course of the 20th century, the number of operational motor vehicles in the United States grew significantly, from just 8,000 automobiles in the year 1900 to more than 183 million private and commercial vehicles in the late 1980s. Generally, the number of vehicles increased in each year, with the most notable exceptions during the Great Depression and Second World War.
When data and analytics leaders throughout Europe and the United States were asked what their key business drivers were for their company's data and analytics priorities, over half cite generating revenue as their number one reason as of 2021. Other popular business drivers include digital transformation, customer intimacy, plus regulatory and compliance to name a few.
Sample Data: https://cloud.drivertechnologies.com/shared?s=146&t=4:03&token=0f469c88-d578-4b4f-80b2-f53f195683b2
At Driver Technologies, we are dedicated to harnessing advanced technology to gather anonymized critical driving data through our innovative dash cam app, which operates seamlessly on end users' smartphones. Our Speed Over Limit Driver Behavior Data offering is a key resource for understanding driver behavior and improving safety on the roads, making it an essential tool for various industries.
What Makes Our Data Unique? Our Speed Over Limit Driver Behavior Data is distinguished by its real-time collection capabilities, utilizing our built-in computer vision technology to identify and capture instances where a driver nearly gets into an accident. This data reflects critical safety events that are indicative of potential risks and non-compliance with traffic regulations. By providing data on these significant events, our dataset empowers clients to perform in-depth analysis.
How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios. For our Speed Over Limit Driver Behavior Data, we leverage computer vision models to read speed limit signs as the driver drives past them, then compare that to speed data captured using the phone's sensor.
Primary Use-Cases and Verticals Driver Behavior Analysis: Organizations can leverage our dataset to analyze driving habits and identify trends in driver behavior. This analysis can help in understanding patterns related to rule compliance and potential risk factors.
Training Computer Vision Models: Clients can utilize our annotated data to develop and refine their own computer vision models for applications in autonomous vehicles, ensuring better decision-making capabilities in complex driving environments.
Improving Risk Assessment: Insurers can utilize our dataset to refine their risk assessment models. By understanding the frequency and context of significant events, they can better evaluate driver risk profiles, leading to more accurate premium pricing and improved underwriting processes.
Integration with Our Broader Data Offering The Speed Over Limit Driver Behavior Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and smart city planning.
In summary, Driver Technologies' Speed Over Limit Driver Behavior Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Speed Over Limit Driver Behavior Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.
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Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227NFWA) from Dec 1970 to Apr 2025 about miles, travel, vehicles, and USA.
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Total Vehicle Sales in the United States decreased to 15.65 Million in May from 17.27 Million in April of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
PLEASE NOTE: This dataset, which includes all TLC licensed for-hire vehicles which are in good standing and able to drive, is updated every day in the evening between 4-7pm. Please check the 'Last Update Date' field to make sure the list has updated successfully. 'Last Update Date' should show either today or yesterday's date, depending on the time of day. If the list is outdated, please download the most recent list from the link below. http://www1.nyc.gov/assets/tlc/downloads/datasets/tlc_for_hire_vehicle_active_and_inactive.csv
TLC authorized For-Hire vehicles that are active. This list is accurate to the date and time represented in the Last Date Updated and Last Time Updated fields. For inquiries about the contents of this dataset, please email licensinginquiries@tlc.nyc.gov.
PLEASE NOTE: This dataset, which includes all TLC Licensed Drivers who are in good standing and able to drive, is updated every day in the evening between 4-7pm. Please check the 'Last Update Date' field to make sure the list has updated successfully. 'Last Update Date' should show either today or yesterday's date, depending on the time of day. If the list is outdated, please download the most recent list from the link below. http://www1.nyc.gov/assets/tlc/downloads/datasets/tlc_shl_drivers_active.csv NYC TLC licensed drivers that are currently active, in good standing and authorized to operate Street Hail Livery (SHL) vehicles. This list is accurate to the date and time represented in the Last Date Updated and Last Time Updated fields. For inquiries about the contents of this dataset, please email licensinginquiries@tlc.nyc.gov.
Information regarding individuals who have had their driver licenses revoked, suspended or otherwise denied for cause, or who have been convicted of certain traffic violations, etc.
THIS DATASET IS UPDATED SEVERAL TIMES PER DAY. TLC Driver application status check for applicants who had applied for a new TLC driver’s license. For questions, please email newdriverapp@tlc.nyc.gov and visit www.nyc.gov/newdriver for more detailed information.
For historical/archived data of past application statuses, please see- https://data.cityofnewyork.us/Transportation/Historical-Driver-Application-Status/p32s-yqxq
This list contains the most recently published active medallion drivers list. This is a list of licensees who are currently authorized to operate NYC TLC licensed Taxicabs. The old data set is no longer being updated but can be accessed from the link given below to access data from 03/07/2013 through 01/04/2014 https://data.cityofnewyork.us/Transportation/Medallion-Drivers-Active/n776-dsqy. A new Change Log containing changes in status from 10/28/2013 onwards can be found at https://data.cityofnewyork.us/Transportation/TLC-MEDALLION-ACTIVE-Historical-Data/sjfe-fppp
THIS DATASET IS UPDATED SEVERAL TIMES PER DAY. TLC Driver application status check for applicants who had applied for a new TLC driver’s license. For more information and to upload missing requirements, visit www.nyc.gov/tlcup For historical/archived data of past application statuses, please see- https://data.cityofnewyork.us/Transportation/Historical-Driver-Application-Status/p32s-yqxq
This list contains information on the status of current medallion drivers who had completed Passenger Assistance Training. This list is accurate to the date and time represented in the Last Date Updated and Last Time Updated fields. For inquiries about the contents of this dataset, please email licensinginquiries@tlc.nyc.gov. For historical data up to and including 2016, please refer to https://data.cityofnewyork.us/d/k7b3-4y4m For historical data for 2017, please refer to https://data.cityofnewyork.us/d/c4dx-tk4d For historical data for 2018, please refer to https://data.cityofnewyork.us/d/xjtr-h2x2 For historical data for 2019 and 2020, please refer to https://data.cityofnewyork.us/d/kpv8-upnp For historical data for 2021, please refer to https://data.cityofnewyork.us/d/pxzj-y6s8
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United States Imports from France of Motor cars and vehicles for transporting persons was US$611.58 Million during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from France of Motor cars and vehicles for transporting persons - data, historical chart and statistics - was last updated on June of 2025.
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The global car dashboard market size was USD XX Billion in 2023 and is projected to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market growth is attributed to the increasing demand for connected vehicles across the globe.
High demand for connected vehicles is expected to boost the market. Connected vehicles, equipped with internet access and a wireless local area network, allow the car to share internet access and data with devices both inside and outside the vehicle. This connectivity necessitates advanced dashboard systems that manage and display the wealth of information available, from real-time traffic updates and navigation assistance to remote diagnostics and personalized infotainment.
Artificial Intelligence (AI) has significantly transformed the car dashboards market. The integration of AI into car dashboards has led to the development of advanced features such as voice recognition, driver behavior monitoring, and real-time data analysis. These features enhance the driving experience by providing personalized information and ensuring safety.
AI-powered dashboards monitor driver behavior, detect any signs of fatigue or distraction, and alert the driver accordingly, thereby reducing the risk of accidents. Moreover, AI enables real-time data analysis, which helps in the predictive maintenance of vehicles. By analyzing data from various sensors, AI predicts potential mechanical issues, prompting timely maintenance and preventing costly repairs.
Voice recognition technology in AI-integrated dashboards allows drivers to control various functions such as navigation, music, and climate without taking their hands off the wheel, thereby ensuring convenience and safety. Therefore, AI has a profound impact on the car dashboard market, driving its growth and evolution.
Annual State-reported licensed driver data from Highway Statistics for the 50 States and DC from Highway Statistics table DL-22.